Clean the context before it hits the model. AgentSkin keeps task-relevant facts and strips low-value API, JSON, and terminal noise.
Semantic pruning is implemented by AgentSkin. Command-aware reduction is provided by the Tokenjuice npm dependency. The MCP and npm package use the same runtime path.
API / JSON / shell output
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v
AgentSkin
classify -> preserve -> reduce
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v
compact task-relevant context
Other public products and experiments from Nichols AI. AgentSkin is the context layer; these are the places it lives beside.
Applied AI systems, agent infrastructure, production software, and business automation.
Turn YouTube videos, webpages, and documents into clean notes without the copy-paste mess.
A public build experiment from the Nichols AI lab, available directly on GitHub.